Evidence map›Paper›PMID 41238557›Full record

ArticleScientific reports2025

Frailty as a predictor of mortality in lung cancer survivors: evidence from a nationally representative cohort NHIS 1997-2018.

Shu-Chao Wang, Lei Peng

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Predicting 1-year mortality in older cancer patients: performance of G8, SPPB, and IF-VIG in the PROFIT Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Shu-Chao WangDepartment of Medical Oncology, The Second Affiliated Hospital of Shandong First Medical University, Taian, 271000, Shangdong Province, China.
Lei PengFaculty of Medicine, University of Heidelberg, 69115, Heidelberg, Germany. lei.peng@stud.uni-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frailty is a syndrome characterized by decreased physiological reserve and increased vulnerability to adverse health outcomes. Its impact on lung cancer survivors remains inadequately explored. This study examined the association between frailty and all-cause mortality in a nationally representative cohort. We analyzed data from the National Health Interview Survey (NHIS) (1997-2018) linked to the National Death Index through 2019. Frailty was assessed using a modified FRAIL scale, categorizing participants as robust, pre-frail, or frail. Cox proportional hazards models were used to evaluate the association between frailty and all-cause mortality, adjusting for demographic, socioeconomic, and health-related factors. Among 1,778 lung cancer survivors, 63.7% were robust, 13.1% were pre-frail, and 23.2% were frail. Frailty prevalence was significantly higher in lung cancer survivors than in cancer-free participants (P < 0.001). Kaplan-Meier analysis demonstrated significantly reduced survival probability with increasing frailty (log-rank P < 0.001). In fully adjusted Cox models, frailty was associated with a 2.12-fold increased risk of mortality (95% CI, 1.68-2.50, P < 0.001), and pre-frailty was also associated with increased risk (HR = 1.55; 95% CI, 1.27-1.90, P < 0.001). The impact of frailty on mortality was more pronounced in younger survivors and men. Frailty is a significant predictor of all-cause mortality in lung cancer survivors. Routine frailty assessments and targeted interventions may help improve long-term outcomes in this population.

Indexed as

Cancer SurvivorsFrailtyLung NeoplasmsAdultAgedAged, 80 and overCohort StudiesFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrevalenceProportional Hazards ModelsRisk FactorsUnited StatesFRAIL scaleFrailtyLung cancer survivorsMortalitySurvival analysis

Identifiers

PMID41238557
PMCPMC12618457

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.